Wai Keen Vong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Shape Properties

Reasoning Tasks

Bucket Elimination

Additional Features

Top Venues

Publications

Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. CoRR (2024)
Marcelo Gomes Mattar, Judith E. Fan, Wai Keen Vong, Lionel Wong
How does the mind discover useful abstractions? CogSci (2023)
Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. CoRR (2023)
Angela Radulescu, Wai Keen Vong, Todd M. Gureckis
Name that state: How language affects human reinforcement learning. CogSci (2022)
Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CoRR (2022)
Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi
Abstract Visual Reasoning with Tangram Shapes. CoRR (2022)
Wai Keen Vong, Brenden M. Lake
Categorising images by generating natural language rules. CogSci (2022)
Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. CogSci (2022)
Wai Keen Vong, Brenden M. Lake
Cross-Situational Word Learning With Multimodal Neural Networks. Cogn. Sci. 46 (4) (2022)
Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi
Abstract Visual Reasoning with Tangram Shapes. EMNLP (2022)
Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. CoRR (2021)
Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
Fast and flexible: Human program induction in abstract reasoning tasks. CoRR (2021)
Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
Fast and Flexible: Human program induction in abstract reasoning tasks. CogSci (2021)
Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake
Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks. CogSci (2021)
Wai Keen Vong, Brenden M. Lake
Learning word-referent mappings and concepts from raw inputs. CoRR (2020)
Wai Keen Vong, Brenden M. Lake
Learning word-referent mappings and concepts from raw inputs. CogSci (2020)
Wai Keen Vong, Andrew T. Hendrickson, Danielle J. Navarro, Amy Perfors
Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners. Cogn. Sci. 43 (3) (2019)
Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto
A Unifying Computational Framework for Teaching and Active Learning. Top. Cogn. Sci. 11 (2) (2019)
Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto
Bayesian Teaching of Image Categories. CogSci (2018)
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
Optimal Cooperative Inference. AISTATS (2018)
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
Optimal Cooperative Inference. CoRR (2017)
Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro
Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. CogSci (2016)
Wai Keen Vong, Amy Perfors, Daniel J. Navarro
The relevance of labels in semi-supervised learning depends on category structure. CogSci (2014)
Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro
The role of sampling assumptions in generalization with multiple categories. CogSci (2013)